Modeling and Simulation Using CellDesigner View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Yukiko Matsuoka , Akira Funahashi , Samik Ghosh , Hiroaki Kitano

ABSTRACT

In silico modeling and simulation are effective means to understand how the regulatory systems function in life. In this chapter, we explain how to build a model and run the simulation using CellDesigner, adopting the standards such as SBML and SBGN.

PAGES

121-45

References to SciGraph publications

Book

TITLE

Transcription Factor Regulatory Networks

ISBN

978-1-4939-0804-2
978-1-4939-0805-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-0805-9_11

DOI

http://dx.doi.org/10.1007/978-1-4939-0805-9_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003247356

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24927840


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "author": [
      {
        "affiliation": {
          "alternateName": "Systems Biology Institute", 
          "id": "https://www.grid.ac/institutes/grid.452864.9", 
          "name": [
            "The Systems Biology Institute, 5-6-9 Shirokanedai, Minato-ku\u00a0Tokyo, 108-0071, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuoka", 
        "givenName": "Yukiko", 
        "id": "sg:person.01203336130.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203336130.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kouhoku-ku, Yokohama, 223-8522, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Funahashi", 
        "givenName": "Akira", 
        "id": "sg:person.0642333553.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642333553.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Systems Biology Institute", 
          "id": "https://www.grid.ac/institutes/grid.452864.9", 
          "name": [
            "The Systems Biology Institute, 5-6-9 Shirokanedai, Minato-ku\u00a0Tokyo, 108-0071, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghosh", 
        "givenName": "Samik", 
        "id": "sg:person.01245175236.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245175236.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Systems Biology Institute", 
          "id": "https://www.grid.ac/institutes/grid.452864.9", 
          "name": [
            "The Systems Biology Institute, 5-6-9 Shirokanedai, Minato-ku\u00a0Tokyo, 108-0071, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitano", 
        "givenName": "Hiroaki", 
        "id": "sg:person.01355755204.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355755204.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1038/msb.2010.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000444361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000444361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btr586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000560891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkj092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002611903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005746991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio0108-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010143971", 
          "https://doi.org/10.1038/nchembio0108-13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr1014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010775655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010789812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg3096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011269644", 
          "https://doi.org/10.1038/nrg3096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/26.1.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015590365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35002125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016534270", 
          "https://doi.org/10.1038/35002125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35002125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016534270", 
          "https://doi.org/10.1038/35002125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkp760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016623884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm298", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017197892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020658699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020658699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020951156", 
          "https://doi.org/10.1038/nbt.1558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020951156", 
          "https://doi.org/10.1038/nbt.1558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1209-1099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023027580", 
          "https://doi.org/10.1038/nbt1209-1099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1209-1099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023027580", 
          "https://doi.org/10.1038/nbt1209-1099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1752-0509-7-55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025073257", 
          "https://doi.org/10.1186/1752-0509-7-55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025620867", 
          "https://doi.org/10.1038/nbt.1666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025620867", 
          "https://doi.org/10.1038/nbt.1666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gki078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026268210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btl086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032049604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1478-5382(03)02380-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033735111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036467908", 
          "https://doi.org/10.1038/nbt1111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036467908", 
          "https://doi.org/10.1038/nbt1111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btg015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037837492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037887152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btl485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038102846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1478-5382(03)02370-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038331374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047203354", 
          "https://doi.org/10.1038/nbt1156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047203354", 
          "https://doi.org/10.1038/nbt1156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047203354", 
          "https://doi.org/10.1038/nbt1156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gki031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048423854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050748968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050748968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2008.7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051206961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2008.7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051206961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052440564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052440564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052440564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-62703-450-0_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052881278", 
          "https://doi.org/10.1007/978-1-62703-450-0_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/153623103322637670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059215062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jproc.2008.925458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061296985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077478443", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/wsc.2006.322946", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095523996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789812799623_0042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096079252"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014", 
    "datePublishedReg": "2014-01-01", 
    "description": "In silico modeling and simulation are effective means to understand how the regulatory systems function in life. In this chapter, we explain how to build a model and run the simulation using CellDesigner, adopting the standards such as SBML and SBGN. ", 
    "editor": [
      {
        "familyName": "Miyamoto-Sato", 
        "givenName": "Etsuko", 
        "type": "Person"
      }, 
      {
        "familyName": "Ohashi", 
        "givenName": "Hiroyuki", 
        "type": "Person"
      }, 
      {
        "familyName": "Sasaki", 
        "givenName": "Hirotaka", 
        "type": "Person"
      }, 
      {
        "familyName": "Nishikawa", 
        "givenName": "Jun-ichi", 
        "type": "Person"
      }, 
      {
        "familyName": "Yanagawa", 
        "givenName": "Hiroshi", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4939-0805-9_11", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4939-0804-2", 
        "978-1-4939-0805-9"
      ], 
      "name": "Transcription Factor Regulatory Networks", 
      "type": "Book"
    }, 
    "name": "Modeling and Simulation Using CellDesigner", 
    "pagination": "121-45", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4939-0805-9_11"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0f77f3dce4f72bd245b7be22028e643344dbeba295f19f0385eeeb32c315924f"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003247356"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24927840"
        ]
      }
    ], 
    "publisher": {
      "location": "New York, NY", 
      "name": "Springer New York", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4939-0805-9_11", 
      "https://app.dimensions.ai/details/publication/pub.1003247356"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T12:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000245.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-1-4939-0805-9_11"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-0805-9_11'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-0805-9_11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-0805-9_11'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-0805-9_11'


 

This table displays all metadata directly associated to this object as RDF triples.

222 TRIPLES      22 PREDICATES      62 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4939-0805-9_11 schema:author Ndb57909b4e694a5f8e323f880bec74ba
2 schema:citation sg:pub.10.1007/978-1-62703-450-0_6
3 sg:pub.10.1038/35002125
4 sg:pub.10.1038/nbt.1558
5 sg:pub.10.1038/nbt.1666
6 sg:pub.10.1038/nbt1111
7 sg:pub.10.1038/nbt1156
8 sg:pub.10.1038/nbt1209-1099
9 sg:pub.10.1038/nchembio0108-13
10 sg:pub.10.1038/nrg3096
11 sg:pub.10.1186/1752-0509-7-55
12 https://app.dimensions.ai/details/publication/pub.1077478443
13 https://doi.org/10.1016/s1478-5382(03)02370-9
14 https://doi.org/10.1016/s1478-5382(03)02380-1
15 https://doi.org/10.1038/msb.2008.7
16 https://doi.org/10.1038/msb.2010.108
17 https://doi.org/10.1038/msb.2010.73
18 https://doi.org/10.1038/msb4100014
19 https://doi.org/10.1038/msb4100057
20 https://doi.org/10.1089/153623103322637670
21 https://doi.org/10.1093/bioinformatics/btg015
22 https://doi.org/10.1093/bioinformatics/bth200
23 https://doi.org/10.1093/bioinformatics/btl086
24 https://doi.org/10.1093/bioinformatics/btl485
25 https://doi.org/10.1093/bioinformatics/btr586
26 https://doi.org/10.1093/bioinformatics/bts270
27 https://doi.org/10.1093/nar/26.1.73
28 https://doi.org/10.1093/nar/gki031
29 https://doi.org/10.1093/nar/gki078
30 https://doi.org/10.1093/nar/gkj092
31 https://doi.org/10.1093/nar/gkl869
32 https://doi.org/10.1093/nar/gkm298
33 https://doi.org/10.1093/nar/gkp760
34 https://doi.org/10.1093/nar/gkr1014
35 https://doi.org/10.1109/jproc.2008.925458
36 https://doi.org/10.1109/wsc.2006.322946
37 https://doi.org/10.1142/9789812799623_0042
38 schema:datePublished 2014
39 schema:datePublishedReg 2014-01-01
40 schema:description In silico modeling and simulation are effective means to understand how the regulatory systems function in life. In this chapter, we explain how to build a model and run the simulation using CellDesigner, adopting the standards such as SBML and SBGN.
41 schema:editor N1a57fce4901043d4b22700b98d28ad3e
42 schema:genre chapter
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf Ncd6a95d017dc43d6abb805d83cc74249
46 schema:name Modeling and Simulation Using CellDesigner
47 schema:pagination 121-45
48 schema:productId N677550a7ae414c2a869daca8af1c4c18
49 Nd345497c377f43518c8c7b193777b111
50 Nd4a9d210635747caa3e7acfdc32ad84a
51 Ndd018c5f8ed54330b20bdadd0e9574e2
52 schema:publisher Ncc198f1f2de34ebd9f6e39b40232376b
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003247356
54 https://doi.org/10.1007/978-1-4939-0805-9_11
55 schema:sdDatePublished 2019-04-15T12:29
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Ndfbdff32d70e461fadb2bdf8d1b4d275
58 schema:url http://link.springer.com/10.1007/978-1-4939-0805-9_11
59 sgo:license sg:explorer/license/
60 sgo:sdDataset chapters
61 rdf:type schema:Chapter
62 N1a57fce4901043d4b22700b98d28ad3e rdf:first N771b1a4dbada4e8582a41d2bcaab0389
63 rdf:rest N7a44a36121a84a2fa513eccb41d947ab
64 N4053c20adcca4f6e936c3711673f8049 rdf:first sg:person.01245175236.29
65 rdf:rest N5db4c64e368745d0b1a7eeaf6e210ebb
66 N531bc16c969d49b9b1c311ad280fce8f rdf:first N786ffb8e9414480db7717c06a7002de5
67 rdf:rest rdf:nil
68 N5db4c64e368745d0b1a7eeaf6e210ebb rdf:first sg:person.01355755204.11
69 rdf:rest rdf:nil
70 N6108bf964c8348b79e9015b6f0441c6c rdf:first Ncafc60477a844ac7a3b672a27c8a3fa8
71 rdf:rest N531bc16c969d49b9b1c311ad280fce8f
72 N677550a7ae414c2a869daca8af1c4c18 schema:name dimensions_id
73 schema:value pub.1003247356
74 rdf:type schema:PropertyValue
75 N771b1a4dbada4e8582a41d2bcaab0389 schema:familyName Miyamoto-Sato
76 schema:givenName Etsuko
77 rdf:type schema:Person
78 N786ffb8e9414480db7717c06a7002de5 schema:familyName Yanagawa
79 schema:givenName Hiroshi
80 rdf:type schema:Person
81 N7a44a36121a84a2fa513eccb41d947ab rdf:first Nb940ddaeee784478bcce1e1b69baadea
82 rdf:rest Nd20d108a3a8744139760f787a51d6ada
83 Nb940ddaeee784478bcce1e1b69baadea schema:familyName Ohashi
84 schema:givenName Hiroyuki
85 rdf:type schema:Person
86 Ncafc60477a844ac7a3b672a27c8a3fa8 schema:familyName Nishikawa
87 schema:givenName Jun-ichi
88 rdf:type schema:Person
89 Ncc198f1f2de34ebd9f6e39b40232376b schema:location New York, NY
90 schema:name Springer New York
91 rdf:type schema:Organisation
92 Ncd6a95d017dc43d6abb805d83cc74249 schema:isbn 978-1-4939-0804-2
93 978-1-4939-0805-9
94 schema:name Transcription Factor Regulatory Networks
95 rdf:type schema:Book
96 Nd20d108a3a8744139760f787a51d6ada rdf:first Nf0169f0bc0734924960232892375c661
97 rdf:rest N6108bf964c8348b79e9015b6f0441c6c
98 Nd345497c377f43518c8c7b193777b111 schema:name readcube_id
99 schema:value 0f77f3dce4f72bd245b7be22028e643344dbeba295f19f0385eeeb32c315924f
100 rdf:type schema:PropertyValue
101 Nd4a9d210635747caa3e7acfdc32ad84a schema:name pubmed_id
102 schema:value 24927840
103 rdf:type schema:PropertyValue
104 Ndb57909b4e694a5f8e323f880bec74ba rdf:first sg:person.01203336130.79
105 rdf:rest Nf3e7cd640bc24e9a9999f4ef04f5a7b8
106 Ndd018c5f8ed54330b20bdadd0e9574e2 schema:name doi
107 schema:value 10.1007/978-1-4939-0805-9_11
108 rdf:type schema:PropertyValue
109 Ndfbdff32d70e461fadb2bdf8d1b4d275 schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 Nf0169f0bc0734924960232892375c661 schema:familyName Sasaki
112 schema:givenName Hirotaka
113 rdf:type schema:Person
114 Nf3e7cd640bc24e9a9999f4ef04f5a7b8 rdf:first sg:person.0642333553.25
115 rdf:rest N4053c20adcca4f6e936c3711673f8049
116 sg:person.01203336130.79 schema:affiliation https://www.grid.ac/institutes/grid.452864.9
117 schema:familyName Matsuoka
118 schema:givenName Yukiko
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203336130.79
120 rdf:type schema:Person
121 sg:person.01245175236.29 schema:affiliation https://www.grid.ac/institutes/grid.452864.9
122 schema:familyName Ghosh
123 schema:givenName Samik
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245175236.29
125 rdf:type schema:Person
126 sg:person.01355755204.11 schema:affiliation https://www.grid.ac/institutes/grid.452864.9
127 schema:familyName Kitano
128 schema:givenName Hiroaki
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355755204.11
130 rdf:type schema:Person
131 sg:person.0642333553.25 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
132 schema:familyName Funahashi
133 schema:givenName Akira
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642333553.25
135 rdf:type schema:Person
136 sg:pub.10.1007/978-1-62703-450-0_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052881278
137 https://doi.org/10.1007/978-1-62703-450-0_6
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/35002125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016534270
140 https://doi.org/10.1038/35002125
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/nbt.1558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020951156
143 https://doi.org/10.1038/nbt.1558
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nbt.1666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025620867
146 https://doi.org/10.1038/nbt.1666
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nbt1111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036467908
149 https://doi.org/10.1038/nbt1111
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nbt1156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047203354
152 https://doi.org/10.1038/nbt1156
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/nbt1209-1099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023027580
155 https://doi.org/10.1038/nbt1209-1099
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/nchembio0108-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010143971
158 https://doi.org/10.1038/nchembio0108-13
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/nrg3096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011269644
161 https://doi.org/10.1038/nrg3096
162 rdf:type schema:CreativeWork
163 sg:pub.10.1186/1752-0509-7-55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025073257
164 https://doi.org/10.1186/1752-0509-7-55
165 rdf:type schema:CreativeWork
166 https://app.dimensions.ai/details/publication/pub.1077478443 schema:CreativeWork
167 https://doi.org/10.1016/s1478-5382(03)02370-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038331374
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s1478-5382(03)02380-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033735111
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1038/msb.2008.7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051206961
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1038/msb.2010.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000444361
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1038/msb.2010.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050748968
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1038/msb4100014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052440564
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1038/msb4100057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020658699
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1089/153623103322637670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059215062
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1093/bioinformatics/btg015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037837492
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1093/bioinformatics/bth200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005746991
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1093/bioinformatics/btl086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032049604
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1093/bioinformatics/btl485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038102846
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1093/bioinformatics/btr586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000560891
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1093/bioinformatics/bts270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010789812
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1093/nar/26.1.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015590365
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1093/nar/gki031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048423854
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1093/nar/gki078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026268210
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1093/nar/gkj092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002611903
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1093/nar/gkl869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037887152
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1093/nar/gkm298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017197892
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1093/nar/gkp760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016623884
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1093/nar/gkr1014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010775655
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1109/jproc.2008.925458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061296985
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1109/wsc.2006.322946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095523996
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1142/9789812799623_0042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096079252
216 rdf:type schema:CreativeWork
217 https://www.grid.ac/institutes/grid.26091.3c schema:alternateName Keio University
218 schema:name Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kouhoku-ku, Yokohama, 223-8522, Japan
219 rdf:type schema:Organization
220 https://www.grid.ac/institutes/grid.452864.9 schema:alternateName Systems Biology Institute
221 schema:name The Systems Biology Institute, 5-6-9 Shirokanedai, Minato-ku Tokyo, 108-0071, Japan
222 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...